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To learn more about Sentiment metrics, see the About Sentiment section.
The Sentiment node pulls current Sentiment data from your Profound account into a Workflow. It returns a positive or negative sentiment score for one or more brands or competitors, on a scale from 0 to 1. The score is model-balanced: it is the average across AI platforms, so no single platform controls the score. Use the Sentiment node for tasks such as:
  • Tracking positive and negative sentiment toward your brand over time
  • Comparing sentiment between your brand and competitors
  • Finding sentiment differences across platforms, regions, topics, or themes
The Sentiment node is the newer version of the Sentiment Score node, which uses an earlier version of Sentiment data.

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Node configuration

Selecting the Sentiment node opens its configuration panel on the right side of the Workflow Builder.

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Assets

Select one or more brands or competitors to query. The node queries each asset separately and labels each row with the asset name.

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Metric

Choose the sentiment metric to return:
  • Positive Sentiment – The share of sentiment toward the asset that is positive.
  • Negative Sentiment – The share of sentiment toward the asset that is negative.
The node returns each score as a ratio from 0 to 1. For example, 0.72 means 72%.

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Date range

Specify the time window to query. Options include:
  • Last 2 Days
  • Last 7 Days
  • Last 14 Days
  • Last 4 Weeks
  • Last 3 Months
  • Custom date range
If you select Custom date range, enter a start date and an end date.

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Filters

Use filters to narrow the dataset. Fields include:
  • Tag
  • Topics
  • Platforms
  • Personas
  • Regions
  • Theme
Select values from the list, or switch the filter to Variable to use a value from an earlier Workflow step. The Theme list comes from the first asset you selected.
When a filter value comes from a variable, Tag, Platforms, Personas, and Regions expect IDs. Topics and Theme accept names.
To group results by a filter field, open the filter’s settings and select Add [field] as a dimension. You can group by up to two dimensions.

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Output label

Examples:
  • sentiment
  • weekly_positive_sentiment
  • negative_sentiment_by_platform

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Advanced settings

  • Date interval: Group the results by day, week, or month.
  • Limit: Set the maximum number of rows the node returns. The default is 100 and the maximum is 10,000. The limit applies to the combined results for all selected assets.
  • Sort by: Sort the output by date or by the selected metric.
  • Sort direction: Sort the output in ascending or descending order.

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Output

Returns a list of rows. Each row includes:
  • asset_name – The brand or competitor.
  • date – The date interval that the score covers.
  • metric_value – The selected sentiment score, from 0 to 1.
  • One field for each dimension you group by, such as platform or region.
This output is commonly used in:
  • LLM narrative summaries
  • Reputation monitoring Workflows
  • Competitive sentiment reports
Check out Create a Workflow to learn how to add this node to a Workflow.